kaggle竞赛的数据组织形式描述如下你能写个python帮我把我的imagenet格式的数据修改为下面这种格式吗?In this competition you are asked to take test images and recognize which landmarks if any are depicted in them The training set is available
import os import shutil import pandas as pd
读取train.csv文件
train_df = pd.read_csv('train.csv')
遍历train文件夹中的所有图片
for image_name in os.listdir('train'): # 获取图片id image_id = image_name.split('.')[0]
# 根据图片id的前三个字符创建子文件夹路径
subfolder_path = os.path.join('train', image_id[0], image_id[1], image_id[2])
# 创建子文件夹路径(如果不存在)
os.makedirs(subfolder_path, exist_ok=True)
# 移动图片到对应的子文件夹中
shutil.move(os.path.join('train', image_name), os.path.join(subfolder_path, image_name))
# 获取对应图片的标签
label = train_df[train_df['id'] == image_id]['landmark_id'].values[0]
# 将图片标签写入对应的子文件夹中的label.txt文件
with open(os.path.join(subfolder_path, 'label.txt'), 'w') as f:
f.write(str(label)
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